| Upload Date | December 19 2025 02:44 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4656
865.9 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (Q)
|
99% |
9787
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2884
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13762
223.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10435
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7274
8.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
36555
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
4235
335.9 IPS |
|
|
Object Detection (HP)
|
100% |
1086
86.1 IPS |
|
|
Object Detection (Q)
|
86% |
10489
843.0 IPS |
|
|
Face Detection (SP)
|
100% |
12418
147.6 IPS |
|
|
Face Detection (HP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
12919
154.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12837
98.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3371
26.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
22769
181.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23965
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16591
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29059
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4520
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3278
121.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7279
269.5 IPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1882
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4752
95.5 IPS |